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1
Semantic approach for solving the decision problem in natural language
Semantic approach for solving the decision problem in natural language
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Semantic approach for solving the decision problem in natural language

Journal of physics. Conference series, 2023-05, Vol.2514 (1), p.12019 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2514/1/012019

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2
A Primer in BERTology: What We Know About How BERT Works
A Primer in BERTology: What We Know About How BERT Works
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A Primer in BERTology: What We Know About How BERT Works

Transactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.842-866 [Peer Reviewed Journal]

2020. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2307-387X ;EISSN: 2307-387X ;DOI: 10.1162/tacl_a_00349

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3
What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models
What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models
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What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models

Transactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.34-48 [Peer Reviewed Journal]

2020. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2307-387X ;EISSN: 2307-387X ;DOI: 10.1162/tacl_a_00298

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4
Named Entity Extraction for Knowledge Graphs: A Literature Overview
Named Entity Extraction for Knowledge Graphs: A Literature Overview
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Named Entity Extraction for Knowledge Graphs: A Literature Overview

IEEE access, 2020, Vol.8, p.32862-32881 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2973928 ;CODEN: IAECCG

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5
Analysis of Abstractive and Extractive Summarization Methods
Analysis of Abstractive and Extractive Summarization Methods
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Analysis of Abstractive and Extractive Summarization Methods

International journal of emerging technologies in learning, 2024-01, Vol.19 (1), p.86-96 [Peer Reviewed Journal]

2024. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1863-0383 ;EISSN: 1863-0383 ;DOI: 10.3991/ijet.v19i01.46079

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6
Vision Transformers for Remote Sensing Image Classification
Vision Transformers for Remote Sensing Image Classification
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Vision Transformers for Remote Sensing Image Classification

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.516 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13030516

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7
Break It Down: A Question Understanding Benchmark
Break It Down: A Question Understanding Benchmark
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Break It Down: A Question Understanding Benchmark

Transactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.183 [Peer Reviewed Journal]

2020. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2307-387X ;EISSN: 2307-387X ;DOI: 10.1162/tacl_a_00309

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8
Automatic detection of cyberbullying in social media text
Automatic detection of cyberbullying in social media text
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Automatic detection of cyberbullying in social media text

PloS one, 2018-10, Vol.13 (10), p.e0203794-e0203794 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Van Hee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Van Hee et al 2018 Van Hee et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0203794 ;PMID: 30296299

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9
Program Semantics-based Task Decomposition
Program Semantics-based Task Decomposition
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Program Semantics-based Task Decomposition

Journal of physics. Conference series, 2020-11, Vol.1684 (1), p.12051 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1684/1/012051

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10
Inherent Disagreements in Human Textual Inferences
Inherent Disagreements in Human Textual Inferences
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Inherent Disagreements in Human Textual Inferences

Transactions of the Association for Computational Linguistics, 2019-11, Vol.7, p.677-694 [Peer Reviewed Journal]

2019. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2307-387X ;EISSN: 2307-387X ;DOI: 10.1162/tacl_a_00293

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11
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
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An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition

BMC bioinformatics, 2015-04, Vol.16 (1), p.138-138, Article 138 [Peer Reviewed Journal]

COPYRIGHT 2015 BioMed Central Ltd. ;Attribution ;Tsatsaronis et al.; licensee BioMed Central. 2015 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-015-0564-6 ;PMID: 25925131

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12
Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
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Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics

PloS one, 2015-11, Vol.10 (11), p.e0141287-e0141287 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Asgari, Mofrad. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Asgari, Mofrad 2015 Asgari, Mofrad ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0141287 ;PMID: 26555596

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13
Semantic Similarity Analysis via Syntax Dependency Structure and Gate Recurrent Unit
Semantic Similarity Analysis via Syntax Dependency Structure and Gate Recurrent Unit
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Semantic Similarity Analysis via Syntax Dependency Structure and Gate Recurrent Unit

Journal of advanced computational intelligence and intelligent informatics, 2024-01, Vol.28 (1), p.179-185 [Peer Reviewed Journal]

Copyright © 2024 Fuji Technology Press Ltd. ;ISSN: 1343-0130 ;EISSN: 1883-8014 ;DOI: 10.20965/jaciii.2024.p0179

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14
A pre-trained BERT for Korean medical natural language processing
A pre-trained BERT for Korean medical natural language processing
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A pre-trained BERT for Korean medical natural language processing

Scientific reports, 2022-08, Vol.12 (1), p.13847-13847, Article 13847 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-17806-8 ;PMID: 35974113

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15
"What is relevant in a text document?": An interpretable machine learning approach
"What is relevant in a text document?": An interpretable machine learning approach
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"What is relevant in a text document?": An interpretable machine learning approach

PloS one, 2017-08, Vol.12 (8), p.e0181142-e0181142 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Arras et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Arras et al 2017 Arras et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0181142 ;PMID: 28800619

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16
iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations
iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations
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iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations

Genome Biology, 2022-10, Vol.23 (1), p.1-219, Article 219 [Peer Reviewed Journal]

2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-022-02780-1

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17
Machine Learning and Natural Language Processing in Mental Health: Systematic Review
Machine Learning and Natural Language Processing in Mental Health: Systematic Review
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Machine Learning and Natural Language Processing in Mental Health: Systematic Review

Journal of medical Internet research, 2021-05, Vol.23 (5), p.e15708-e15708 [Peer Reviewed Journal]

Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca, Romain Billot, Taylor C Ryan, Jonathan Marsh, Jordan DeVylder, Michel Walter, Sofian Berrouiguet, Christophe Lemey. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 04.05.2021. ;2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca, Romain Billot, Taylor C Ryan, Jonathan Marsh, Jordan DeVylder, Michel Walter, Sofian Berrouiguet, Christophe Lemey. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 04.05.2021. 2021 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/15708 ;PMID: 33944788

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18
Word2vec convolutional neural networks for classification of news articles and tweets
Word2vec convolutional neural networks for classification of news articles and tweets
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Word2vec convolutional neural networks for classification of news articles and tweets

PloS one, 2019-08, Vol.14 (8), p.e0220976-e0220976 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Jang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Jang et al 2019 Jang et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0220976 ;PMID: 31437181

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19
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains
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PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains

Transactions of the Association for Computational Linguistics, 2022-04, Vol.10, p.414-433 [Peer Reviewed Journal]

2022. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2307-387X ;EISSN: 2307-387X ;DOI: 10.1162/tacl_a_00468

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20
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study
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Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study

Journal of medical Internet research, 2020-10, Vol.22 (10), p.e22635-e22635 [Peer Reviewed Journal]

Daniel M Low, Laurie Rumker, Tanya Talkar, John Torous, Guillermo Cecchi, Satrajit S Ghosh. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.10.2020. ;Copyright Gunther Eysenbach MD MPH, Associate Professor Oct 2020 ;Daniel M Low, Laurie Rumker, Tanya Talkar, John Torous, Guillermo Cecchi, Satrajit S Ghosh. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.10.2020. 2020 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/22635 ;PMID: 32936777

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